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Showing 1 to 20 of 27 for “"item parameters"”.
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A Comparison of Item Parameters across Item Types
Seven item formats from a professional licensure examination program (n=4,706) were evaluated to determine whether there are significant differences in item parameter estimates based on item formats. The item formats were standard multiple choice, multiple choice with a graphic or exhibit attached, …
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Fast EM Based Posterior Approximation for IRT Item Parameters
<p>DISS_abstract></p> <p>Estimation of the parameters in item response theory (IRT) models is routinely accomplished using marginalized Bayes modal estimation (MBME) as implemented through standard IRT software, such as BILOG-MG. However, checking IRT model fit is an on-going area of research, with …
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Comparison of concurrent and separate multidimensional IRT linking of item parameters.
… few studies comparing separate Multidimensional Item Response Theory (MIRT) linking methods, however, none of them have compared concurrent calibration and separate MIRT linking. The purpose of this simulation research is to compare the performance of concurrent calibration and four separate …
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COMPARING THREE ESTIMATION METHODS FOR THE THREE-PARAMETER LOGISTIC IRT MODEL
… developed for the unidimensional three‐parameter item response theory (IRT) model. These techniques include the marginal maximum likelihood estimation, the fully Bayesian estimation using Markov chain Monte Carlo simulation techniques, and the Metropolis-Hastings Robbin-Monro estimation. With each …
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A stepwise test characteristic curve method to detect item parameter drift
An important assumption of item response theory (IRT) based equating is that the item parameters should be invariant over different testing occasions. Sometimes, however, item parameters do not remain invariant due to factors other than sampling error, and this is termed item parameter drift (IPD). …
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The application of a cognitive diagnostic model on the test of practical Chinese
… which specifies the relationship between test items and attributes needed to answer each item correctly. There are three stages in this study: (1) identifying reading attributes, (2) constructing the initial Q-matrix, and (3) modifying the initial Q-matrix. In the first stage, six reading …
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A comparison of traditional and IRT factor analysis.
This study investigated the item parameter recovery of two methods of factor analysis. The methods researched were a traditional factor analysis of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm …
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Application of a Graded Response Model to the Assessment of Job Satisfaction
A technique was developed for estimating the parameters on the two-parameter logistic graded response model. Comparisons were made of the person and item parameters with the dichotomously scored counterparts. Application of the graded response model was also made to appropriateness measurement in …
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New methods of online calibration for item bank replenishment
"Item parameter calibration is important for tests based on item response theory, because the scoring, equating, bias analysis of the test, and item selection in adaptive tests are all based on the item parameters. As a test is continuously administered, item calibration needs to be conducted for …
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Kullback-Leibler information and its applications in multidimensional adaptive testing
… information in the context of multi-dimensional item response theory and is further interpreted for the two-dimensional case, from a geometric perspective. This explication should allow for a better understanding of the various item selection methods in multi-dimensional adaptive tests (MAT) …
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The Exploration of the Relationship Between Guessing and Latent Ability in IRT Models
… function integrating probability of guessing an item correctly with the examinee's ability and the item parameters. The conventional 3PL IRT model was compared with the new 2PL-Guessing model on parameter estimation using the Monte Carlo method. SAS program was used to implement the data …
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An Item Response Unfolding Model for Graphic Rating Scales
… endpoint to the mark is taken as the measure. An item response unfolding model is proposed to analyze the bounded continuous data collected with the graphic rating scale. The model has both location and dispersion parameters, and the item response function is developed based on the truncated …
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Cognitive Diagnostic Assessment of TIMSS-2007 Mathematics Achievement Items for 8th Graders in Turkey
… responses to released TIMSS mathematics items and considered what those responses might show about participants' mastery level of cognitive areas. The least squares distance method (LSDM) was used in this cognitive diagnostic analysis. There were 4,498 8th-grade students from seven …
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Investigating the process underlying responses to emotional intelligence inventories
… and performance measure). By investigating item parameters and model fits using item response theory (IRT), we found that EI measures constructed from different theoretical backgrounds resulted in different response processes. Specifically, dominance model fit self-report ability EI scale …
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Guidelines for the interpretation of NCDIF as an effect size measure
… have been proposed to detect Differential Item Functioning (DIF) and quantify its magnitude. However, not all DIF statistics quantify the same population parameters and, therefore, cannot be interpreted interchangeably. We focus on deriving principled guidelines for the interpretation of …
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Item parameter drift and online calibration
An important assumption of item response theory based computerized adaptive assessment is item parameter invariance. Sometimes, however, item parameters are not invariant across different test administrations due to factors other than sampling error; and this phenomenon is termed item parameter …
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Effect of Unequal Sample Sizes on the Power of DIF Detection: An IRT-Based Monte Carlo Study with SIBTEST and Mantel-Haenszel Procedures
… of DIF of moderate and large magnitudes. Item parameters were estimated by, and generated with the 2PLM using WinGen2 (Han, 2006). MULTISIM was used to simulate ability estimates and to generate response data that were analyzed by SIBTEST. The SIBTEST procedure with regression correction …
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Implementation of Optimal Design for Item Calibration in Computerized Adaptive Testing (Cat)
Item calibration in small sample conditions is an important research and practical issue. This thesis aims to solve this issue by implementing a promising method, optimal design. Contrary to traditional random item selection, optimal design matches examinees and pretest items for maximal …
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Testing the Measurement Invariance of Large-Scale Assessment of Foreign Language Proficiency Using Multiple Group Covariance Structure Analyses and Item Response Modeling
… multiple group covariance structure analyses and item response theory (IRT) modeling as research paradigms, ultimately contributing to the validation of a standardized large-scale foreign language proficiency test for non-native speakers of English; Dimensionality of large-scale English …
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Ability Estimation Under Different Item Parameterization and Scoring Models
… study investigated the effect of scoring format, item parameterization, threshold configuration, and prior ability distribution on the accuracy of ability estimation given various IRT models. Item response data on 30 items from 1,000 examinees was simulated using known item parameters and ability …
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